Data Object Detection Dataset and Pre-Trained Model by CommonlyConsumedFishDataset

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Explore Dataset

Here are a few use cases for this project:

Fisheries Management: The model can support aquaculture farmers in identifying different species and effectively managing fish stocks. It can help recognize the various types of fish in their ponds and monitor the balance between species.
Biodiversity and Conservation Studies: Scientists, researchers, and conservationists can use the model to identify different Aair classes and evaluate the health and biodiversity of aquatic ecosystems, facilitating better conservation efforts.
Fish Market Regulation: Regulatory bodies can use the model to automate fish identification in markets to ensure correct labelling and compliance with trade rules and prevent the selling of endangered species.
Education and Training: The model can serve as an educational tool for training students and researchers in the field of ichthyology, helping them to accurately identify different species of fish.
Seafood Restaurants and Fishmongers: Use this model to identify different types of fish, ensuring the quality of their products and providing correct information to customers.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            data-tvlbr_dataset,
                            title = { Data Dataset },
                            type = { Open Source Dataset },
                            author = { CommonlyConsumedFishDataset },
                            howpublished = { \url{ https://universe.roboflow.com/commonlyconsumedfishdataset/data-tvlbr } },
                            url = { https://universe.roboflow.com/commonlyconsumedfishdataset/data-tvlbr },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jun },
                            note = { visited on 2024-04-20 },
                            }